Automatic staff reconstruction within SIMSSA proect

TL;DR

This paper presents a method for reconstructing staff lines in ancient musical scores from digital images, enhancing music score analysis for digital archives.

Contribution

It introduces a post-processing scheme that improves staff line detection, tracking, and interpolation specifically for ancient scores in the Salzinnes Database.

Findings

High accuracy in staff line reconstruction demonstrated

Effective post-processing improves score analysis

Applicable to digital archives of ancient music

Abstract

The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being created to make musical content available to the public, including scores of ancient music. For the correct analysis of music elements and their interpretation, the identification of staff lines is of key importance. In this paper, a scheme to post-process the output of a previous musical object identification system is described. This system allows the reconstruction by means of detection, tracking and interpolation of the staff lines of ancient scores from the digital Salzinnes Database. The scheme developed shows a remarkable performance on the specific task it was created for.